code: def create_test_trials_intermixed(root_dir):
      """Creates fake trials used for testing."""
      trials = [
          {
              "model_dir": os.path.join(root_dir, str(2)),
              "id": 2,
              "status": "COMPLETED",
              "trial_infeasible": False,
              "final_measurement": {"objective_value": 0.94},
          },
          {
              "model_dir": os.path.join(root_dir, str(3)),
              "id": 3,
              "status": "COMPLETED",
              "trial_infeasible": False,
              "final_measurement": {"objective_value": 0.7},
          },
          {
              "model_dir": os.path.join(root_dir, str(5)),
              "id": 5,
              "status": "COMPLETED",
              "trial_infeasible": False,
              "final_measurement": {"objective_value": 0.3},
          },
      ]
      return [trial_module.Trial(t) for t in trials]
  
imports: import copy
  import enum
  import os
  from model_search import hparam
  from model_search.architecture import architecture_utils
  from model_search.architecture import tower
  from model_search.generators import base_tower_generator
  from model_search.metadata import trial
  from model_search.proto import distillation_spec_pb2
  from model_search.proto import ensembling_spec_pb2
  from model_search.proto import phoenix_spec_pb2
  import tensorflow.compat.v2
  from google.protobuf import text_format
label_desc: Use image node_id 11 for calling a global function with example usage: create_test_trials_intermixed(root_dir) and returns: unknown